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It is shown that cross-evaluated heads on a frozen shared representation inherit the extrapolation confound of shallow exchange scores: pure input rotations with fixed labels inflate a deep exchange score from about 0 to 0.80, while representation-novelty scores are blind in the complementary direction.
It is shown that cross-evaluated heads on a frozen shared representation inherit the extrapolation confound of shallow exchange scores: pure input rotations with fixed labels inflate a deep exchange score from about 0 to 0.80, while representation-novelty scores are blind in the complementary direction.
This work proves finite-time anytime validity for the observable surrogate discrepancy of a predictable discriminator sequence, and an unconditional one-sided transfer to the population quantity in which each side's slack is the excess risk of a single discriminator.
The Conditional Jensen-Shannon Discrepancy (CJSD) is proposed, which proves a covariate-null property, a drift-mass law, a one-sided misspecification-control inequality, a one-sided misspecification-control inequality, and a fixed-measure metrization via an identifiability lemma.
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